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The Role of Artificial Intelligence in Automating Software Testing

Year: 2025

Type: article

Abstract: The integration of Artificial Intelligence (AI) in automating software testing is revolutionizing traditional testing methods by improving efficiency, speed, and accuracy. AI-driven tools can generate, execute, and maintain test cases automatically, reducing the manual effort required in the software development lifecycle. Through machine learning algorithms, AI identifies patterns, predicts potential defects, and adapts to code changes, ensuring comprehensive and reliable test coverage. Additionally, AI optimizes regression and performance testing, scales testing efforts across multiple environments, and enhances collaboration between development and QA teams. This paper explores the key contributions of AI in automating software testing, highlighting its impact on improving software quality, reducing time-to-market, and minimizing costs while addressing challenges such as test maintenance and scalability.

Source: International Journal of Innovative Research in Science Engineering and Technology

DOI: 10.15680/ijirset.2025.1403119

Authors: C K Gomathy, D. Meyrina

Language: English

Topic: Software Testing and Debugging Techniques

Subfield: Software

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4408913969

FWCI: 4.901

Cites:

Cited by: 2

Related to: 10